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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
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<TITLE>class BayesClassifierMachine</TITLE>
<META NAME="GENERATOR" CONTENT="DOC++ 3.4.8">
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<H2>class <A HREF="#DOC.DOCU">BayesClassifierMachine</A></H2></H2><BLOCKQUOTE>BayesClassifierMachine is the machine used by the <TT>BayesClassifier</TT> trainer to perform a Bayes Classification using different distributions.</BLOCKQUOTE>
<HR>
<H2>Inheritance:</H2>
<APPLET CODE="ClassGraph.class" WIDTH=600 HEIGHT=95>
<param name=classes value="CObject,MObject.html,CMachine,MMachine.html,CBayesClassifierMachine,MBayesClassifierMachine.html">
<param name=before value="M,M,M">
<param name=after value="Md_SP,Md_,M">
<param name=indent value="0,1,2">
<param name=arrowdir value="down">
</APPLET>
<HR>
<DL>
<P><DL>
<DT><H3>Public Fields</H3><DD><DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>int <B><A HREF="#DOC.88.1">n_trainers</A></B>
<DD><I>the number of classes corresponds to the number of <TT>Trainer</TT></I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif><!1><A HREF="Trainer.html">Trainer</A>** <B><A HREF="#DOC.88.2">trainers</A></B>
<DD><I>the actual trainers</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>real* <B><A HREF="#DOC.88.3">log_priors</A></B>
<DD><I>the log_prior probabilities of each class.</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>real* <B><A HREF="#DOC.88.4">log_posteriors</A></B>
<DD><I>contains the log posterior probability plus the log prior of the class</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>bool <B><A HREF="#DOC.88.5">allocated_log_priors</A></B>
<DD><I>used to know if log_priors where given or allocated</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif><!1><A HREF="ClassFormat.html">ClassFormat</A>* <B><A HREF="#DOC.88.6">class_format</A></B>
<DD><I>the format of the data</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif><!1><A HREF="List.html">List</A>** <B><A HREF="#DOC.88.7">trainers_measurers</A></B>
<DD><I>the measurers for each individual trainer</I>
</DL></P>
<P><DL>
<DT><H3>Public Methods</H3><DD><DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif> <B><A HREF="#DOC.88.8">BayesClassifierMachine</A></B>( <!1><A HREF="Trainer.html">Trainer</A>**, int n_trainers_, <!1><A HREF="List.html">List</A>** trainers_measurers_, <!1><A HREF="ClassFormat.html">ClassFormat</A>* class_format_, real* log_priors_=NULL)
<DD><I>creates a machine for BayesClassifier trainers, given a vector of trainers (one per class), an associate measurer for each trainer, a class_format that explains how the classes are coded, and an eventual vector (of size <TT>n_trainers_</TT>) containing the log of the class priors</I>
<DT>
<IMG ALT="[more]" BORDER=0 SRC=icon1.gif>virtual void <B><A HREF="#DOC.88.9">forward</A></B>( <!1><A HREF="List.html">List</A>* <!1><A HREF="SeqExample.html#DOC.107.3">inputs</A> )
<DD><I>definition of virtual functions of <TT>Machine</TT> </I>
</DL></P>
</DL>
<HR><H3>Inherited from <A HREF="Machine.html">Machine</A>:</H3>
<DL>
<P><DL>
<DT><H3>Public Fields</H3><DD><DT>
<IMG ALT="o" SRC=icon2.gif>int <B>n_inputs</B>
<DT>
<IMG ALT="o" SRC=icon2.gif>int <B>n_outputs</B>
<DT>
<IMG ALT="o" SRC=icon2.gif><!1><A HREF="List.html">List</A>* <B>outputs</B>
</DL></P>
<P><DL>
<DT><H3>Public Methods</H3><DD><DT>
<IMG ALT="o" SRC=icon2.gif>virtual void <B>reset</B>()
</DL></P>
</DL>
<HR><H3>Inherited from <A HREF="Object.html">Object</A>:</H3>
<DL>
<P><DL>
<DT><H3>Public Methods</H3><DD><DT>
<IMG ALT="o" SRC=icon2.gif>virtual void <B>init</B>()
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>addOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, int size, void* <!1><A HREF="Vec.html#DOC.81.3">ptr</A>, const char* <!1><A HREF="CmdLine.html#DOC.7.3">help</A>="", bool is_allowed_after_init=false)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>addIOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, int* <!1><A HREF="Vec.html#DOC.81.3">ptr</A>, int init_value, const char* <!1><A HREF="CmdLine.html#DOC.7.3">help</A>="", bool is_allowed_after_init=false)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>addROption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, real* <!1><A HREF="Vec.html#DOC.81.3">ptr</A>, real init_value, const char* <!1><A HREF="CmdLine.html#DOC.7.3">help</A>="", bool is_allowed_after_init=false)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>addBOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, bool* <!1><A HREF="Vec.html#DOC.81.3">ptr</A>, bool init_value, const char* <!1><A HREF="CmdLine.html#DOC.7.3">help</A>="", bool is_allowed_after_init=false)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>setOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, void* <!1><A HREF="Vec.html#DOC.81.3">ptr</A>)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>setIOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, int option)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>setROption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, real option)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>setBOption</B>(const char* <!1><A HREF="SeqExample.html#DOC.107.9">name</A>, bool option)
<DT>
<IMG ALT="o" SRC=icon2.gif>virtual void <B>loadFILE</B>(FILE* <!1><A HREF="Measurer.html#DOC.30.2">file</A>)
<DT>
<IMG ALT="o" SRC=icon2.gif>virtual void <B>saveFILE</B>(FILE* <!1><A HREF="Measurer.html#DOC.30.2">file</A>)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>load</B>(const char* filename)
<DT>
<IMG ALT="o" SRC=icon2.gif>void <B>save</B>(const char* filename)
</DL></P>
</DL>
<A NAME="DOC.DOCU"></A>
<HR>
<H2>Documentation</H2>
<BLOCKQUOTE>BayesClassifierMachine is the machine used by the <TT>BayesClassifier</TT>
trainer to perform a Bayes Classification using different distributions.
The output corresponds to the class that is the most probable
(using prior AND posterior information).
<P></BLOCKQUOTE>
<DL>
<A NAME="n_trainers"></A>
<A NAME="DOC.88.1"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>int n_trainers</B></TT>
<DD>the number of classes corresponds to the number of <TT>Trainer</TT>
<DL><DT><DD></DL><P>
<A NAME="trainers"></A>
<A NAME="DOC.88.2"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B><!1><A HREF="Trainer.html">Trainer</A>** trainers</B></TT>
<DD>the actual trainers
<DL><DT><DD></DL><P>
<A NAME="log_priors"></A>
<A NAME="DOC.88.3"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>real* log_priors</B></TT>
<DD>the log_prior probabilities of each class. default: log_priors are
taken as the log of the proportions in the training set.
<DL><DT><DD></DL><P>
<A NAME="log_posteriors"></A>
<A NAME="DOC.88.4"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>real* log_posteriors</B></TT>
<DD>contains the log posterior probability plus the log prior of the class
<DL><DT><DD></DL><P>
<A NAME="allocated_log_priors"></A>
<A NAME="DOC.88.5"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>bool allocated_log_priors</B></TT>
<DD>used to know if log_priors where given or allocated
<DL><DT><DD></DL><P>
<A NAME="class_format"></A>
<A NAME="DOC.88.6"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B><!1><A HREF="ClassFormat.html">ClassFormat</A>* class_format</B></TT>
<DD>the format of the data
<DL><DT><DD></DL><P>
<A NAME="trainers_measurers"></A>
<A NAME="DOC.88.7"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B><!1><A HREF="List.html">List</A>** trainers_measurers</B></TT>
<DD>the measurers for each individual trainer
<DL><DT><DD></DL><P>
<A NAME="BayesClassifierMachine"></A>
<A NAME="DOC.88.8"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B> BayesClassifierMachine( <!1><A HREF="Trainer.html">Trainer</A>**, int n_trainers_, <!1><A HREF="List.html">List</A>** trainers_measurers_, <!1><A HREF="ClassFormat.html">ClassFormat</A>* class_format_, real* log_priors_=NULL)</B></TT>
<DD>creates a machine for BayesClassifier trainers, given a vector of
trainers (one per class), an associate measurer for each trainer,
a class_format that explains how the classes are coded, and an eventual
vector (of size <TT>n_trainers_</TT>) containing the log of the class priors
<DL><DT><DD></DL><P>
<A NAME="forward"></A>
<A NAME="DOC.88.9"></A>
<DT><IMG ALT="o" BORDER=0 SRC=icon2.gif><TT><B>virtual void forward( <!1><A HREF="List.html">List</A>* <!1><A HREF="SeqExample.html#DOC.107.3">inputs</A> )</B></TT>
<DD>definition of virtual functions of <TT>Machine</TT>
<DL><DT><DD></DL><P></DL>
<HR><DL><DT><B>This class has no child classes.</B></DL>
<DL><DT><DT><B>Author:</B><DD>Samy Bengio (bengio@idiap.ch)
Bison Ravi (francois.belisle@idiap.ch)
<DD></DL><P><P><I><A HREF="index.html">Alphabetic index</A></I> <I><A HREF="HIER.html">HTML hierarchy of classes</A> or <A HREF="HIERjava.html">Java</A></I></P><HR>
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